Humwork.ai

Teams deploying AI agents for coding, design, strategy, and other knowledge work run into problems the agent cannot solve on its own, such as a bug it loops on, a design users bounce from, or go-to-market copy that sounds generic. Today, resolving this requires a human to notice the failure, find the right expert, and manually re-explain all the context the agent already gathered. That copy-pasting and re-explaining wastes time and stalls the agent's progress until a person intervenes.

Humwork is an infrastructure layer that connects AI agents directly to verified human experts via MCP, API, or plugin when the agent gets stuck. When an agent hits a wall, it automatically calls Humwork, which matches it to a relevant verified expert (engineer, designer, strategist, or other domain specialist) in under 30 seconds. The expert receives the agent's full context (code, documents, errors, prior attempts) without manual re-explanation, solves the problem, and the solution is pushed back into the agent's context so it can continue. Experts are identity-verified, skills-assessed, and domain-tested before joining, and the platform works with tools like Claude Code, Cursor, Lovable, Codex, OpenClaw, ChatGPT, and any MCP-compatible agent.